Open Access
| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 5 | |
| Section | Modeling, Analysis, and Simulation of Intelligent Manufacturing Processes | |
| DOI | https://doi.org/10.1051/matecconf/201817301007 | |
| Published online | 19 June 2018 | |
- L Hernandez, C Baladron, JM Aguiar. Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment. Energies. 6, 9 (2013), 4489-4507. [CrossRef] [Google Scholar]
- Li Dongdong, ZQin, SLin. Short-term load forecasting for microgrid based on method of chaotic time series. Proceedings of CSU-EPSA. 5, 1 (2015). [Google Scholar]
- F Katiraei, MR Iravani. Power management strategies for a microgrid with multiple distributed generation units. IEEE Transactions on Power Systems.21, 4 (2006),1821-1831. [Google Scholar]
- J Huang, C Jiang, R Xu. A review on distributed energy resources and microgrid. Renewable & Sustainable Energy Reviews. 12, 9 (2008),2472-2483. [CrossRef] [Google Scholar]
- HG Han, JK Park, SH Kang. Implementation of short-term load forecasting expert system in a real environment. International Journal of Engineering Intelligent Systems for Electrical Engineering & Communications. 8, 3 (2000),139-144. [Google Scholar]
- DK Ranaweera, NF Hubele, GG Karady. Fuzzy logic for short term load forecasting. International Journal of Electrical Power & Energy Systems.18, 4 (1996),215-222. [CrossRef] [Google Scholar]
- AS Khwaja, X Zhang, A Anpalagan. Boosted neural networks for improved short-term electric load forecasting. Electric Power Systems Research. 143 (2017),431-437. [Google Scholar]
- F Yu, X Xu. A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network. Applied Energy. 134, 134 (2014):102-113. [CrossRef] [Google Scholar]
- Y Huang, J Deng. Application of adaptive particle-swarm-optimized SVM to short-term load forecasting based on grey error calibration. Journal of Computational Information Systems. 6, 3 (2010),707-715. [Google Scholar]
- A Selakov, S Mellon, D Bekut. Hybrid pso-svm method for short-term load forecasting during periods with significant temperature variations in city of Burbank. Applied Soft Computing. 16, 3 (2014),80-88. [CrossRef] [Google Scholar]
- AShanoon, TC Wan, A Munther. Application of harmony search optimization algorithm to improve connectivity in wireless sensor network with nonuniform density. Journal of Information Science & Engineering. 31, 4 (2015). [Google Scholar]
- M Mahdavi, M Fesanghary, E Damangir. An improved harmony search algorithm for solving optimization problems. Applied Mathematics & Computation. 188, 2 (2007),1567-1579. [Google Scholar]
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